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- W4200202938 abstract "Mobile edge computing (MEC) can effectively support various high reliability and low delay maritime applications, but security risks in computing tasks offloading exist. We describe a maritime network (MN) model based on MEC, and analyze the risk of data privacy leakage of maritime mobile terminal (MMT) during the offloading tasks. For abnormal maritime monitoring data (MMD), a data cleaning algorithm of sample density-based local outlier factor (SD-LOF) is proposed. It can effectively save the cost of data privacy protection (DPP) and improve the quality of MEC service. For data privacy leakage of MMT, an attribute sensitivity-based differential privacy (AS-DP) algorithm is proposed to balance security and availability of data and improve the differential privacy protection utility. Experimental results have verified the validity of the proposed two algorithms." @default.
- W4200202938 created "2021-12-31" @default.
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- W4200202938 date "2021-10-20" @default.
- W4200202938 modified "2023-09-24" @default.
- W4200202938 title "Data Privacy Protection for Maritime Mobile Terminals" @default.
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- W4200202938 doi "https://doi.org/10.1109/wcsp52459.2021.9613596" @default.
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